↓ Skip to main content

Re-evaluation of soluble APP-α and APP-β in cerebrospinal fluid as potential biomarkers for early diagnosis of dementia disorders

Overview of attention for article published in Biomarker Research, September 2017
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 211)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
31 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Re-evaluation of soluble APP-α and APP-β in cerebrospinal fluid as potential biomarkers for early diagnosis of dementia disorders
Published in
Biomarker Research, September 2017
DOI 10.1186/s40364-017-0108-5
Pubmed ID
Authors

Wataru Araki, Kotaro Hattori, Kazutomi Kanemaru, Yuma Yokoi, Yoshie Omachi, Harumasa Takano, Masuhiro Sakata, Sumiko Yoshida, Tadashi Tsukamoto, Miho Murata, Yuko Saito, Hiroshi Kunugi, Yu-ichi Goto, Utako Nagaoka, Masahiro Nagao, Takashi Komori, Kunimasa Arima, Kenji Ishii, Shigeo Murayama, Hiroshi Matsuda, Hisateru Tachimori, Yumiko M. Araki, Hidehiro Mizusawa

Abstract

Because soluble (or secreted) amyloid precursor protein-β (sAPPβ) and -α (sAPPα) possibly reflect pathological features of Alzheimer's disease (AD), they are potential biomarker candidates for dementia disorders, including AD and mild cognitive impairment (MCI) due to AD (MCI-AD). However, controversial results have been reported regarding their alterations in the cerebrospinal fluid (CSF) of AD and MCI-AD patients. In this study, we re-assessed the utility of sAPPα and sAPPβ in CSF as diagnostic biomarkers of dementia disorders. We used a modified and sensitive detection method to analyze sAPPs levels in CSF in four groups of patients: AD (N = 33), MCI-AD (N = 17), non-AD dementia (N = 27), and disease controls (N = 19). Phosphorylated tau (p-tau), total tau, and Aβ42 were also analyzed using standard methods. A strong correlation was observed between sAPPα and sAPPβ, consistent with previous reports. Both sAPPα and sAPPβ were highly correlated with p-tau and total tau, suggesting that sAPPs possibly reflect neuropathological changes in the brain. Levels of sAPPα were significantly higher in MCI-AD cases compared with non-AD and disease control cases, and those of sAPPβ were also significantly higher in MCI-AD and AD cases relative to other cases. A logistic regression analysis indicated that sAPPα and sAPPβ have good discriminative power for the diagnosis of MCI-AD. Our findings collectively suggest that both sAPPs are pathologically relevant and potentially useful biomarkers for early and accurate diagnosis of dementia disorders. We also suggest that careful measurement is important in assessing the diagnostic utility of CSF sAPPs.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 23%
Student > Bachelor 7 23%
Student > Master 4 13%
Student > Doctoral Student 2 6%
Researcher 1 3%
Other 2 6%
Unknown 8 26%
Readers by discipline Count As %
Neuroscience 7 23%
Biochemistry, Genetics and Molecular Biology 4 13%
Engineering 2 6%
Chemistry 2 6%
Agricultural and Biological Sciences 2 6%
Other 7 23%
Unknown 7 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 September 2020.
All research outputs
#1,911,596
of 18,954,860 outputs
Outputs from Biomarker Research
#12
of 211 outputs
Outputs of similar age
#58,684
of 427,220 outputs
Outputs of similar age from Biomarker Research
#3
of 18 outputs
Altmetric has tracked 18,954,860 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 211 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 427,220 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.